Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2407.01531.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T15:56:45.702521Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T14:10:13.371091Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 8f68737c-c3c6-4fab-b586-cd763d254278 · inbound
DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control cites this paper.
DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:48:48.828350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 72cf41ea-b654-4515-b75b-d3bee3b0124d · inbound
RCM-ACT: Imitation Learning with Dynamic RCM Calibration for Autonomous Intraocular Foreign Body Removal cites this paper.
RCM-ACT: Imitation Learning with Dynamic RCM Calibration for Autonomous Intraocular Foreign Body Removal Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:56:45.702521Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db66afc0-782d-49f4-8440-6355f4637137 · inbound
Continually Evolving Skill Knowledge in Vision Language Action Model cites this paper.
Continually Evolving Skill Knowledge in Vision Language Action Model Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T06:04:09.241690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 86322f84-56d0-486f-b234-105cfb50d915 · inbound
Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation cites this paper.
Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T15:05:06.047387Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e882bb16-a292-480a-9d4f-b17cdcfb3318 · inbound
Towards Long-Lived Robots: Continual Learning VLA Models via Reinforcement Fine-Tuning cites this paper.
Towards Long-Lived Robots: Continual Learning VLA Models via Reinforcement Fine-Tuning Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
Reference 69
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T14:10:13.373092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8797a224-d60d-4d3a-926e-5f13ff8e0649 · inbound
Redefining End-of-Life: Intelligent Automation for Electronics Remanufacturing Systems cites this paper.
Redefining End-of-Life: Intelligent Automation for Electronics Remanufacturing Systems Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
Reference 123
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T19:23:09.483752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 69683c12-5d3b-4df3-b2ad-58350546aa63 · inbound
Diffusion Policy with Bayesian Expert Selection for Active Multi-Target Tracking cites this paper.
Diffusion Policy with Bayesian Expert Selection for Active Multi-Target Tracking Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T18:28:06.412761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c72855fe-76b8-4959-b9fc-3d8f15c57258 · inbound
Escaping the Diversity Trap in Robotic Manipulation via Anchor-Centric Adaptation cites this paper.
Escaping the Diversity Trap in Robotic Manipulation via Anchor-Centric Adaptation Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
Reference 50
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T02:25:52.861754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 64d3154c-3a76-419f-8585-685f25ac5df2 · inbound
High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching cites this paper.
High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T23:25:15.657215Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.